Multi-source remote sensing images are rich in types and have different characteristics, bringing great difficulty to realize universal registration algorithm. For example, hyperspectral image (HSI) and multispectral image (MSI), which provide wealthy spectral information, and light detection and ranging (LiDAR) data, which provide elevation information, are used together for joint classification [1]}, [2]}, [3]}. Correspondence analysis with optical and synthetic aperture radar (SAR) images is investigated in depth [4]}. In addition, the fusion of infrared and optical images is also one of the most important and commonly used technical means [5]}. Panchromatic(PAN) images with high spatial resolution and texture information are often used for fusion with HSI and MSI. Therefore, it is in great need of effective, universal, and robust algorithms for multi-source remote sensing image registration.
